Understanding the Mechanisms of Deep Transfer Learning for Medical Images

20 April 2017

Hariharan Ravishankar

Papers citing "Understanding the Mechanisms of Deep Transfer Learning for Medical Images"

28 / 28 papers shown

Title
Transfer learning from a sparsely annotated dataset of 3D medical images Gabriel Efrain Humpire-Mamani Colin Jacobs Mathias Prokop Bram van Ginneken Nikolas Lessmann 100 2 0 08 Nov 2023
A Data Augmentation Method and the Embedding Mechanism for Detection and Classification of Pulmonary Nodules on Small Samples Yang Liu Yue-Jie Hou C. Qin Xin-hui Li Silin Li Bin Wang Chi-Chun Zhou MedIm 60 1 0 02 Mar 2023
A comparative study between vision transformers and CNNs in digital pathology Luca Deininger Bernhard Stimpel Anil Yüce Samaneh Abbasi-Sureshjani Simon Schönenberger P. Ocampo Konstanty Korski F. Gaire ViT MedIm 106 39 0 01 Jun 2022
An overview of deep learning in medical imaging I. Haq VLM 114 5 0 17 Feb 2022
A Review of Deep Transfer Learning and Recent Advancements Mohammadreza Iman Khaled Rasheed H. Arabnia 210 492 0 19 Jan 2022
Parametric Scattering NetworksComputer Vision and Pattern Recognition (CVPR), 2021 Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 265 21 0 20 Jul 2021
ADAPT : Awesome Domain Adaptation Python Toolbox Antoine de Mathelin Mounir Atiq Guillaume Richard Alejandro de la Concha Mouad Yachouti Franccois Deheeger Mathilde Mougeot Nicolas Vayatis TTA 145 51 0 07 Jul 2021
MRI Images, Brain Lesions and Deep Learning D. Castillo Vasudevan Lakshminarayanan M. Rodríguez-Álvarez OOD 206 3 0 13 Jan 2021
Deep Learning in Ultrasound Elastography Imaging Hongliang Li Manish Bhatt Zhen Qu Shiming Zhang Martin C. Hartel A. Khademhosseini G. Cloutier 102 0 0 14 Oct 2020
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and VisualizationIEEE Access (IEEE Access), 2020 Tawsifur Rahman Amith Khandakar M. A. Kadir K. R. Islam Khandaker F. Islam ... Tahir Hamid M. Islam Z. Mahbub M. Ayari M. Chowdhury 157 448 0 29 Jul 2020
Data-driven Regularization via Racecar Training for Generalizing Neural Networks You Xie Nils Thuerey 111 0 0 30 Jun 2020
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation Siyu Liu Weiqun Dai Craig B. Engstrom Jurgen Fripp Stuart Crozier Jason Dowling Shekhar S. Chandra 221 0 0 28 Jun 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis Xiaozhen Xie J. Niu Xuefeng Liu Zhengsu Chen Shaojie Tang Shui Yu 184 15 0 25 Apr 2020
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals Hugh Chen Scott M. Lundberg G. Erion Jerry H. Kim Su-In Lee AI4TS 180 3 0 12 Feb 2020
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art ApplicationsMedical Physics (Lancaster) (MPL), 2019 Hyunseok Seo M. B. Khuzani V. Vasudevan Charles Huang Hongyi Ren Ruoxiu Xiao Xiao Jia Lei Xing VLM 188 253 0 06 Nov 2019
Dataset Growth in Medical Image Analysis ResearchJournal of Imaging (J. Imaging), 2019 Y. Landau N. Kiryati OOD 119 41 0 21 Aug 2019
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal AdenocarcinomaFrontiers in Artificial Intelligence (FAI), 2019 Yucheng Zhang Edrise M. Lobo-Mueller P. Karanicolas S. Gallinger M. Haider Farzad Khalvati MedIm 208 11 0 23 May 2019
Med3D: Transfer Learning for 3D Medical Image Analysis Sihong Chen Kai Ma Yefeng Zheng MedIm 336 566 0 01 Apr 2019
Generalization of feature embeddings transferred from different video anomaly detection domains Fernando Pereira dos Santos Leo Sampaio Ferraz Ribeiro M. Ponti 105 46 0 28 Jan 2019
Pneumonia Detection in Chest Radiographs The DeepRadiology Team 95 18 0 21 Nov 2018
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound Micha Feigin-Almon Daniel Freedman B. Anthony SyDa MedIm 409 91 0 30 Sep 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis Veronika Cheplygina Marleen de Bruijne J. Pluim 166 816 0 17 Apr 2018
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning N. Gessert Markus Heyder S. Latus Matthias Lutz Alexander Schlaefer 50 14 0 11 Apr 2018
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks Teng Zhang J. Carvajal Daniel F. Smith Kun-li Zhao Arnold Wiliem Peter Hobson A. Jennings Brian C. Lovell 71 11 0 20 Mar 2018
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning T. Ross David Zimmerer A. Vemuri Hyunjin Park Manuel Wiesenfarth ... H. Kenngott Stefanie Speidel Annette Kopp-Schneider Klaus Maier-Hein Lena Maier-Hein MedIm SSL 148 134 0 27 Nov 2017
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy Faisal Mahmood Nicholas J. Durr MedIm 242 152 0 30 Oct 2017
An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images J. Orlando E. Prokofyeva M. D. Fresno Matthew B. Blaschko MedIm 99 253 0 09 Jun 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 1.5K 11,865 0 19 Feb 2017